Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning

  1. Anand, Akhil S.
  2. Kveen, Jens Erik
  3. Abu-Dakka, Fares
  4. Grotli, Esten Ingar
  5. Gravdahl, Jan Tommy
Liburua:
2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA
  1. Wani, MA (coord.)
  2. Kantardzic, M (coord.)
  3. Palade, V (coord.)
  4. Neagu, D (coord.)
  5. Yang, L (coord.)
  6. Chan, KY (coord.)

ISBN: 978-1-6654-6283-9

Argitalpen urtea: 2022

Orrialdeak: 1-6

Biltzarra: 21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA)

Mota: Biltzar ekarpena

DOI: 10.1109/ICMLA55696.2022.00009 GOOGLE SCHOLAR
Datuen iturria: WoS